samsung SM-S721U1
Geekbench AI Score
2165
Single Precision Score
2242
Half Precision Score
3152
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 24 2025 01:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | samsung SM-S721U1 |
| Model ID | samsung SM-S721U1 |
| Motherboard | s5e9945 |
| Governor | energy_aware |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 10 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 3 Cores @ 2.59 GHz |
| Cluster 3 | 2 Cores @ 2.90 GHz |
| Cluster 4 | 1 Core @ 3.11 GHz |
| Memory Information | |
|---|---|
| Size | 7.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1871
348.0 IPS |
|
|
Image Classification (HP)
|
100% |
2103
391.0 IPS |
|
|
Image Classification (Q)
|
100% |
3259
606.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2425
39.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2401
38.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3768
61.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3628
4.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
3783
4.41 IPS |
|
|
Pose Estimation (Q)
|
84% |
7992
9.48 IPS |
|
|
Object Detection (SP)
|
98% |
1451
115.5 IPS |
|
|
Object Detection (HP)
|
98% |
1624
129.2 IPS |
|
|
Object Detection (Q)
|
83% |
1930
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
3102
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
3124
37.1 IPS |
|
|
Face Detection (Q)
|
95% |
4693
56.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3248
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3192
24.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4626
42.4 IPS |
|
|
Style Transfer (SP)
|
89% |
7595
9.86 IPS |
|
|
Style Transfer (HP)
|
89% |
7601
9.87 IPS |
|
|
Style Transfer (Q)
|
98% |
13379
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1590
58.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3216
119.2 IPS |
|
|
Text Classification (SP)
|
100% |
557
743.2 IPS |
|
|
Text Classification (HP)
|
99% |
596
796.2 IPS |
|
|
Text Classification (Q)
|
88% |
868
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1400
24.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (Q)
|
50% |
632
22.5 IPS |
